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Required Skills for CCA175

Data Ingest

The skills to transfer data between external systems and your cluster. This includes the following:

  • Import data from a MySQL database into HDFS using Sqoop
  • Export data to a MySQL database from HDFS using Sqoop
  • Change the delimiter and file format of data during import using Sqoop
  • Ingest real-time and near-real time (NRT) streaming data into HDFS using Flume
  • Load data into and out of HDFS using the Hadoop File System (FS) commands

Transform, Stage, Store

Convert a set of data values in a given format stored in HDFS into new data values and/or a new data format and write them into HDFS. This includes writing Spark applications in both Scala and Python:

  • Load data from HDFS and store results back to HDFS using Spark
  • Join disparate datasets together using Spark
  • Calculate aggregate statistics (e.g., average or sum) using Spark
  • Filter data into a smaller dataset using Spark
  • Write a query that produces ranked or sorted data using Spark

Data Analysis

Use Data Definition Language (DDL) to create tables in the Hive metastore for use by Hive and Impala.

  • Read and/or create a table in the Hive metastore in a given schema
  • Extract an Avro schema from a set of datafiles using avro-tools
  • Create a table in the Hive metastore using the Avro file format and an external schema file
  • Improve query performance by creating partitioned tables in the Hive metastore
  • Evolve an Avro schema by changing JSON files